Rajdeep Mukherjee
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Hardware and Architecture top 10%
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Co-authors
- Dev Kumar DasChandan ChakrabortyDaniel KroeningPawan GoyalTom MelhamSourangshu BhattacharyaSaptarshi GhoshMitra Purandare
- Topics
- Topic Modeling (7 papers)Software Testing and Debugging Techniques (7 papers)Formal Methods in Verification (6 papers)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsJournal of MicroscopyInternational Journal on Software Tools for Technology Transfer
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Rajdeep Mukherjee
23 papers receiving 225 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 117
- Computer Vision and Pattern Recognition 53
- Hardware and Architecture 47
- Computational Theory and Mathematics 33
- Electrical and Electronic Engineering 29
Countries citing papers authored by Rajdeep Mukherjee
This map shows the geographic impact of Rajdeep Mukherjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rajdeep Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajdeep Mukherjee more than expected).
Fields of papers citing papers by Rajdeep Mukherjee
This network shows the impact of papers produced by Rajdeep Mukherjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rajdeep Mukherjee. The network helps show where Rajdeep Mukherjee may publish in the future.
Co-authorship network of co-authors of Rajdeep Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Rajdeep Mukherjee. A scholar is included among the top collaborators of Rajdeep Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajdeep Mukherjee. Rajdeep Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 31 | |
| 11 | 11 | |
| 12 | 33 | |
| 13 | 7 | |
| 14 | 18 | |
| 15 | 0 | |
| 16 | 63 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 1 |
About Rajdeep Mukherjee
Rajdeep Mukherjee is a scholar working on Software, Hardware and Architecture and Computational Theory and Mathematics, having authored 28 papers that have together received 241 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Software Testing and Debugging Techniques (7 papers) and Formal Methods in Verification (6 papers). The work is most often cited by research in Software (28 citations), Hardware and Architecture (47 citations) and Biophysics (25 citations). Rajdeep Mukherjee has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Dev Kumar Das, Chandan Chakraborty, Daniel Kroening, Pawan Goyal, Tom Melham, Sourangshu Bhattacharya, Saptarshi Ghosh, Mitra Purandare, Kripabandhu Ghosh and Niloy Ganguly. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Microscopy and International Journal on Software Tools for Technology Transfer.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.